activity
20132024
most citedThe Evolution of First Person Vision Methods: A Survey

178 citations · 334 across the 24 of their papers we have counts for

collaborators
Showing cs.LGShow all

7 papers · 1 filter

cs.LG2022★ 21 cited

A Novel Resource Allocation for Anti-jamming in Cognitive-UAVs: an Active Inference Approach

Ali Krayani, Atm S. Alam, Lucio Marcenaro +2

This work proposes a novel resource allocation strategy for anti-jamming in Cognitive Radio using Active Inference (), and a cognitive-UAV is employed as a case study…

cs.LG2020★ 15 cited

Self-awareness in intelligent vehicles: Feature based dynamic Bayesian models for abnormality detection

Divya Thekke Kanapram, Pablo Marin-Plaza, Lucio Marcenaro +3

The evolution of Intelligent Transportation Systems in recent times necessitates the development of self-awareness in agents. Before the intensive use of Machine Learning, the dete…

cs.LG2020★ 1 cited

Self-awareness in Intelligent Vehicles: Experience Based Abnormality Detection

Divya Kanapram, Pablo Marin-Plaza, Lucio Marcenaro +3

The evolution of Intelligent Transportation System in recent times necessitates the development of self-driving agents: the self-awareness consciousness. This paper aims to introdu…

cs.LG2020★ 18 cited

Collective Awareness for Abnormality Detection in Connected Autonomous Vehicles

Divya Thekke Kanapram, Fabio Patrone, Pablo Marin-Plaza +5

The advancements in connected and autonomous vehicles in these times demand the availability of tools providing the agents with the capability to be aware and predict their own sta…

cs.LG2020★ 13 cited

Dynamic Bayesian Approach for decision-making in Ego-Things

Divya Kanapram, Damian Campo, Mohamad Baydoun +4

This paper presents a novel approach to detect abnormalities in dynamic systems based on multisensory data and feature selection. The proposed method produces multiple inference mo…

cs.LG2019★ 22 cited

Static force field representation of environments based on agents nonlinear motions

Damian Campo, Alejandro Betancourt, Lucio Marcenaro +1

This paper presents a methodology that aims at the incremental representation of areas inside environments in terms of attractive forces. It is proposed a parametric representation…